limebit/medmodels
MedModels is a high-speed RWE framework to apply the latest methods from scientific research to medical data.
This framework helps medical researchers, epidemiologists, and health economists efficiently analyze complex patient data from electronic health records (EHR) and claims. It transforms raw medical data into standardized, high-performance graph structures, allowing users to apply advanced statistical methods for treatment effect analysis. The output provides insights into patient outcomes and treatment effectiveness, helping to inform clinical and public health decisions.
Use this if you need to analyze large-scale real-world medical data, streamline your research workflows, and accurately estimate treatment effects from observational patient records.
Not ideal if you are working with small, simple datasets or do not require advanced statistical modeling and graph-based data structures for your medical research.
Stars
11
Forks
—
Language
Python
License
BSD-3-Clause
Category
Last pushed
Jan 23, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/limebit/medmodels"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
sunlabuiuc/PyHealth
A Deep Learning Python Toolkit for Healthcare Applications.
re-search/DocProduct
Medical Q&A with Deep Language Models
edaaydinea/AI-Projects-for-Healthcare
This repository is included artificial intelligence, machine learning, data science, computer...
mercure-imaging/mercure
mercure DICOM Orchestrator
HealthCatalyst/healthcareai-py
Python tools for healthcare machine learning